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공공누리This item is licensed Korea Open Government License

Title
An Unified Spatial Index and Visualization Method for the Trajectory and Grid Queries in Internet of Things
Author(s)
한진주이용나철원이다희이도훈온병원박민우이상환
Publisher
한국컴퓨터정보학회
Publication Year
2019-09-01
Abstract
Recently, a variety of IoT data is collected by attaching geosensors to many vehicles that are on the road. IoT data basically has time and space information and is composed of various data such as temperature, humidity, fine dust, Co2, etc. Although a certain sensor data can be retrieved using time, latitude and longitude, which are keys to the IoT data, advanced search engines for IoT data to handle high-level user queries are still limited. There is also a problem with searching large amounts of IoT data without generating indexes, which wastes a great deal of time through sequential scans. In this paper, we propose a unified spatial index model that handles both grid and trajectory queries using a cell-based space-filling curve method. also it presents a visualization method that helps user grasp intuitively. The Trajectory query is to aggregate the traffic of the trajectory cells passed by taxi on the road searched by the user. The grid query is to find the cells on the road searched by the user and to aggregate the fine dust. Based on the generated spatial index, the user interface quickly summarizes the trajectory and grid queries for specific road and all roads, and proposes a Web-based prototype system that can be analyzed intuitively through road and heat map visualization.
Keyword
IoT(Internet of Things); Spatial Index; Query Processing; Data Visualization; Web System
Journal Title
한국컴퓨터정보학회논문지;
Citation Volume
24
ISSN
1598-849x
DOI
10.9708/jksci.2019.24.09.083
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/16783
Fulltext
 https://scienceon.kisti.re.kr/srch/selectPORSrchArticle.do?cn=JAKO201927561416128
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